Sledovat
Angira Sharma
Angira Sharma
University of Oxford
E-mailová adresa ověřena na: cs.ox.ac.uk
Název
Citace
Citace
Rok
Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions
A Sharma, E Kosasih, J Zhang, A Brintrup, A Calinescu
Journal of Industrial Information Integration, 2022
2152022
Supply Chain Digital Twin Framework Design: An Approach of Supply Chain Operations Reference Model and System of Systems
J Zhang, A Brintrup, A Calinescu, E Kosasih, A Sharma
arXiv preprint arXiv:2107.09485, 2021
152021
Digital twins: State of the art theory and practice, challenges, and open research questions. arXiv
A Sharma, E Kosasih, J Zhang, A Brintrup, A Calinescu
arXiv preprint arXiv:2011.02833, 2020
52020
Digital twins: State of the art theory and practice, challenges, and open research questions. arXiv 2020
A Sharma, E Kosasih, J Zhang, A Brintrup, A Calinescu
arXiv preprint arXiv:2011.02833, 0
5
Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
A Sharma, N Khan, G Sundaramoorthi, P Torr
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
32021
Shape-tailored deep neural networks with PDEs
N Khan, A Sharma, PHS Torr, G Sundaramoorhti
Neural Information Processing Systems Foundation, 2021
2021
Shape-Tailored Deep Neural Networks
N Khan, A Sharma, G Sundaramoorthi, PHS Torr
arXiv preprint arXiv:2102.08497, 2021
2021
Shape-Tailored Deep Neural Networks Using PDEs for Segmentation
N Khan, A Sharma, P Torr, G Sundaramoorthi
2020
Inductive transfer learning applied to graph coloring problem using Sudoku
A Sharma, GL Prajapati
2017 IEEE 8th International Conference on Computing, Communication and …, 2017
2017
Supplementary Material: Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
A Sharma, N Khan, M Mubashar, G Sundaramoorthi, P Torr
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Články 1–10